综述 | 面向5G/6G网络的LLM智能体AI：架构、协议与标准化
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TL;DR - A tutorial survey examines LLM-powered agents as a control abstraction for autonomous 5G/6G networks, covering architectures, protocols, standards, and deployment constraints. It argues that near-term adoption is most practical in management and non-real-time workflows.
- Maps agent reasoning, planning, memory, and tool use onto network control, management, and AI-native planes.
- Compares MCP, A2A, ANP, ACP, and AP2 for tool integration, agent coordination, identity, interoperability, and transactions.
- Reviews standardization efforts across 3GPP, ETSI, O-RAN, TM Forum, IETF, and GSMA.
- Identifies hallucinations, latency, energy use, security, governance, and inadequate telecom benchmarks as key barriers.
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综述 | 面向5G/6G网络的LLM智能体AI：架构、协议与标准化
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TL;DR - A tutorial survey examines LLM-powered agents as a control abstraction for autonomous 5G/6G networks, covering architectures, protocols, standards, and deployment constraints. It argues that near-term adoption is most practical in management and non-real-time workflows.
- Maps agent reasoning, planning, memory, and tool use onto network control, management, and AI-native planes.
- Compares MCP, A2A, ANP, ACP, and AP2 for tool integration, agent coordination, identity, interoperability, and transactions.
- Reviews standardization efforts across 3GPP, ETSI, O-RAN, TM Forum, IETF, and GSMA.
- Identifies hallucinations, latency, energy use, security, governance, and inadequate telecom benchmarks as key barriers.